2021.5.10 Learning papers

 

05-06-2021

Text similarity analysis for evaluation of descriptive answers
by Vedant Bahel et al

05-06-2021

Consistency of mechanistic causal discovery in continuous-time using Neural ODEs
by Alexis Bellot et al

05-06-2021

Exact Acceleration of K-Means++ and K-Means∥‖
by Edward Raff

05-05-2021

Training Quantum Embedding Kernels on Near-Term Quantum Computers
by Thomas Hubregtsen et al

05-07-2021

Laplace Matching for fast Approximate Inference in Generalized Linear Models
by Marius Hobbhahn et al

05-07-2021

Geometric convergence of elliptical slice sampling
by Viacheslav Natarovskii et al

05-06-2021

CoDE: Collocation for Demonstration Encoding
by Mandy Xie et al

05-07-2021

Energy-Based Anomaly Detection and Localization
by Ergin Utku Genc et al

05-06-2021

Deep Polarization Imaging for 3D shape and SVBRDF Acquisition
by Valentin Deschaintre et al

05-06-2021

A Metamodel Structure For Regression Analysis: Application To Prediction Of Autism Spectrum Disorder Severity
by Shiyu Wang et al

05-06-2021

Contextual Bandits with Sparse Data in Web setting
by Björn H Eriksson

05-05-2021

PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling
by Björn Lütjens et al

05-05-2021

Survey on Multi-Agent Q-Learning frameworks for resource management in wireless sensor network
by Arvin Tashakori

05-05-2021

A Geometric Analysis of Neural Collapse with Unconstrained Features
by Zhihui Zhu et al

05-07-2021

A Survey of Data Augmentation Approaches for NLP
by Steven Y. Feng et al

05-07-2021

SpeechNet: A Universal Modularized Model for Speech Processing Tasks
by Yi-Chen Chen et al

05-06-2021

Solve routing problems with a residual edge-graph attention neural network
by Kun Lei et al

05-05-2021

Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases
by Samyak Prajapati et al

05-06-2021

Learning Controllable Content Generators
by Sam Earle et al

05-05-2021

Activity-Aware Deep Cognitive Fatigue Assessment using Wearables
by Mohammad Arif Ul Alam

05-07-2021

Leveraging Multiple Relations for Fashion TrendForecasting Based on Social Media
by Yujuan Ding et al

05-05-2021

Self-Supervised Multi-Frame Monocular Scene Flow
by Junhwa Hur et al

05-07-2021

Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees
by Christian Fiedler et al

05-06-2021

Modeling the geospatial evolution of COVID-19 using spatio-temporal convolutional sequence-to-sequence neural networks
by Mário Cardoso et al

05-06-2021

CrossWalk: Fairness-enhanced Node Representation Learning
by Ahmad Khajehnejad et al

05-06-2021

Sparse convolutional context-aware multiple instance learning for whole slide image classification
by Marvin Lerousseau et al

05-06-2021

Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop
by Alexander E. Siemenn et al

05-05-2021

Software Engineering for AI-Based Systems: A Survey
by Silverio Martínez-Fernández et al

05-05-2021

How Fine-Tuning Allows for Effective Meta-Learning
by Kurtland Chua et al

05-06-2021

Evaluating the Effect of Longitudinal Dose and INR Data on Maintenance Warfarin Dose Predictions
by Anish Karpurapu et al

05-06-2021

(ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality Assessment
by Seyed Mehdi Ayyoubzadeh et al

05-06-2021

Noethers Learning Dynamics: The Role of Kinetic Symmetry Breaking in Deep Learning
by Hidenori Tanaka et al

05-07-2021

DeepRF: Deep Reinforcement Learning Designed RadioFrequency Waveform in MRI
by Dongmyung Shin et al

05-07-2021

Order in the Court: Explainable AI Methods Prone to Disagreement
by Michael Neely et al

05-07-2021

A Survey of Applied Machine Learning Techniques for Optical OFDM based Networks
by Hichem Mrabet et al

05-05-2021

Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning
by Yuyang Gao et al

05-05-2021

Automated scoring of pre-REM sleep in mice with deep learning
by Niklas Grieger et al

05-07-2021

Network Pruning That Matters: A Case Study on Retraining Variants
by Duong H. Le et al

05-05-2021

Partially Interpretable Estimators (PIE): Black-Box-Refined Interpretable Machine Learning
by Tong Wang et al

05-06-2021

MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditions
by Ryo Tanabe et al

05-07-2021

PEMNET: A Transfer Learning-based Modeling Approach of High-Temperature Polymer Electrolyte Membrane Electrochemical Systems
by Luis A. Briceno-Mena et al

05-05-2021

Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning
by Matthew Watson et al

05-07-2021

Neural 3D Scene Compression via Model Compression
by Berivan Isik

05-07-2021

FVM Network to Reduce Computational Cost of CFD Simulation
by Joongoo Jeon et al

05-06-2021

Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods
by Jary Pomponi et al

05-05-2021

When Fair Ranking Meets Uncertain Inference
by Avijit Ghosh et al

05-05-2021

End-to-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings
by Soumi Maiti et al

05-05-2021

Two-layer neural networks with values in a Banach space
by Yury Korolev

05-07-2021

Are Pre-trained Convolutions Better than Pre-trained Transformers?
by Yi Tay et al

05-05-2021

Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities
by Ruohan Zhan et al

05-05-2021

Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder
by Jonas Wurst et al

05-06-2021

A probabilistic model for missing traffic volume reconstruction based on data fusion
by Xintao Yan et al

05-06-2021

GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer Learning
by Mohammad Mahdi Behzadi et al

05-06-2021

Utilizing Skipped Frames in Action Repeats via Pseudo-Actions
by Taisei Hashimoto et al

05-07-2021

Code2Image: Intelligent Code Analysis by Computer Vision Techniques and Application to Vulnerability Prediction
by Zeki Bilgin

05-07-2021

Kernel MMD Two-Sample Tests for Manifold Data
by Xiuyuan Cheng et al

05-05-2021

RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation
by Huma Samin et al

05-05-2021

CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
by Anselm Paulus et al

05-06-2021

A Reinforcement Learning-based Economic Model Predictive Control Framework for Autonomous Operation of Chemical Reactors
by Khalid Alhazmi et al

05-06-2021

Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices
by Hamid Tabani et al

05-07-2021

Deep Learning Hamiltonian Monte Carlo
by Sam Foreman et al

05-06-2021

Understanding Catastrophic Overfitting in Adversarial Training
by Peilin Kang et al

05-06-2021

On the logistical difficulties and findings of Jopara Sentiment Analysis
by Marvin M. Agüero-Torales et al

05-07-2021

Interpretable machine learning for high-dimensional trajectories of aging health
by Spencer Farrell et al

05-07-2021

Hierarchical Graph Neural Networks
by Stanislav Sobolevsky

05-07-2021

An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks
by Keli Zhang et al

05-07-2021

Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics
by Yuan Pu et al

05-05-2021

Continual Learning on the Edge with TensorFlow Lite
by Giorgos Demosthenous et al

05-06-2021

MCMC-driven importance samplers
by F. Llorente et al

05-07-2021

Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers
by Therese Fehrer et al

05-05-2021

Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions
by Dan Geiger et al

05-06-2021

Computer-Aided Design as Language
by Yaroslav Ganin et al

05-07-2021

Error-Robust Multi-View Clustering: Progress, Challenges and Opportunities
by Mehrnaz Najafi et al

05-06-2021

Scaling up Memory-Efficient Formal Verification Tools for Tree Ensembles
by John Törnblom et al

05-07-2021

Diff-ResNets for Few-shot Learning -- an ODE Perspective
by Tangjun Wang et al

05-07-2021

A Family of Hybrid Federated and Centralized Learning Architectures in Machine Learning
by Ahmet M. Elbir et al

05-05-2021

Perceptual Gradient Networks
by Dmitry Nikulin et al

05-05-2021

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
by Rui Huang et al

05-05-2021

Non-Autoregressive vs Autoregressive Neural Networks for System Identification
by Daniel Weber et al

05-06-2021

Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteria
by Francesca Lizzi et al

05-06-2021

Machine Collaboration
by Qingfeng Liu et al

05-05-2021

Physics-informed Spline Learning for Nonlinear Dynamics Discovery
by Fangzheng Sun et al

05-07-2021

Pairwise Fairness for Ordinal Regression
by Matthäus Kleindessner et al

05-05-2021

Byzantine-Robust and Privacy-Preserving Framework for FedML
by Hanieh Hashemi et al

05-05-2021

Scalable Graph Neural Network Training: The Case for Sampling
by Marco Serafini et al

05-06-2021

Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning
by Yeo Jin Kim et al

05-06-2021

FDNet: A Deep Learning Approach with Two Parallel Cross Encoding Pathways for Precipitation Nowcasting
by Bi-Ying Yan et al

05-06-2021

Dataset Bias in the Natural Sciences: A Case Study in Chemical Reaction Prediction and Synthesis Design
by Ryan-Rhys Griffiths et al

05-07-2021

The Shadowy Lives of Emojis: An Analysis of a Hacktivist Collectives Use of Emojis on Twitter
by Keenan Jones et al

05-07-2021

Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
by Weinan Zhang et al

05-05-2021

Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation
by Edoardo Giacomello et al

05-06-2021

Reliability Testing for Natural Language Processing Systems
by Samson Tan et al

05-05-2021

Prototype Memory for Large-scale Face Representation Learning
by Evgeny Smirnov et al

05-06-2021

Bayesian Active Learning by Disagreements: A Geometric Perspective
by Xiaofeng Cao et al

05-05-2021

Randomized Stochastic Variance-Reduced Methods for Stochastic Bilevel Optimization
by Zhishuai Guo et al

05-05-2021

Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain
by Samanta Knapič et al

05-05-2021

MODS -- A USV-oriented object detection and obstacle segmentation benchmark
by Borja Bovcon et al

05-05-2021

Automated Primary Hyperparathyroidism Screening with Neural Networks
by Noah Ziems et al

05-05-2021

Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks
by Faiq Khalid et al

05-06-2021

Learning Skeletal Articulations with Neural Blend Shapes
by Peizhuo Li et al

05-06-2021

Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network
by Alaa Bessadok et al

05-07-2021

ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked Models
by Matthias Wess et al

05-07-2021

Use of High Dimensional Modeling for automatic variables selection: the best path algorithm
by Luigi Riso

05-07-2021

Reward prediction for representation learning and reward shaping
by Hlynur Davíð Hlynsson et al

05-07-2021

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
by Gongxu Luo et al

05-05-2021

A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction
by Ziyu Wang et al

05-06-2021

Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?
by Yue Song et al

05-06-2021

Pathloss modeling for in-body optical wireless communications
by Stylianos E. Trevlakis et al

05-05-2021

FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction
by Brian Gordon et al

05-07-2021

FedGL: Federated Graph Learning Framework with Global Self-Supervision
by Chuan Chen et al

05-05-2021

H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch
by Benjamin Rivière et al

05-05-2021

Self-Supervised Learning from Automatically Separated Sound Scenes
by Eduardo Fonseca et al

05-05-2021

Model-free policy evaluation in Reinforcement Learning via upper solutions
by D. Belomestny et al

05-07-2021

What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory
by Rahul Parhi et al

05-05-2021

DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
by Damien Dablain et al

05-05-2021

Policy Learning with Adaptively Collected Data
by Ruohan Zhan et al

05-05-2021

Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach
by Mohammad Nabati et al

05-05-2021

This Looks Like That... Does it? Shortcomings of Latent Space Prototype Explainability in Deep Networks
by Adrian Hoffmann et al

05-05-2021

Non-asymptotic analysis and inference for an outlyingness induced winsorized mean
by Yijun Zuo

05-06-2021

Neural Algorithmic Reasoning
by Petar Veličković et al

05-06-2021

The layer-wise L1 Loss Landscape of Neural Nets is more complex around local minima
by Peter Hinz

05-06-2021

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize
by Matthew Ricci et al

05-05-2021

Solving Sokoban with backward reinforcement learning
by Yaron Shoham et al

05-05-2021

Modulating Regularization Frequency for Efficient Compression-Aware Model Training
by Dongsoo Lee et al

05-05-2021

Change Matters: Medication Change Prediction with Recurrent Residual Networks
by Chaoqi Yang et al

05-06-2021

High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
by Boxin Zhao et al

05-06-2021

Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond
by Tianyuan Huang et al

05-06-2021

Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
by Christian Fiedler et al

05-06-2021

Point Cloud Audio Processing
by Krishna Subramani et al

05-06-2021

Relative stability toward diffeomorphisms in deep nets indicates performance
by Leonardo Petrini et al

05-06-2021

Bandit based centralized matching in two-sided markets for peer to peer lending
by Soumajyoti Sarkar

05-05-2021

Learning Algorithms for Regenerative Stopping Problems with Applications to Shipping Consolidation in Logistics
by Kishor Jothimurugan et al

05-05-2021

Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity
by Baeseong Park et al

05-05-2021

Q-Rater: Non-Convex Optimization for Post-Training Uniform Quantization
by Byeongwook Kim et al

05-05-2021

A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs
by Devansh Bisla et al

05-05-2021

Understanding Long Range Memory Effects in Deep Neural Networks
by Chengli Tan et al

05-06-2021

ACORN: Adaptive Coordinate Networks for Neural Scene Representation
by Julien N. P. Martel et al

05-05-2021

LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
by Yi Ding et al

05-05-2021

Granger Causality: A Review and Recent Advances
by Ali Shojaie et al

05-06-2021

Ordinal UNLOC: Target Localization with Noisy and Incomplete Distance Measures
by Mahesh K. Banavar et al

05-06-2021

Generalized Multimodal ELBO
by Thomas M. Sutter et al

05-06-2021

Differential Privacy for Pairwise Learning: Non-convex Analysis
by Yilin Kang et al

05-06-2021

ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection
by Guanjie Huang et al

05-06-2021

Semidefinite Programming for Community Detection with Side Information
by Mohammad Esmaeili et al

05-07-2021

Adapting by Pruning: A Case Study on BERT
by Yang Gao et al

05-05-2021

Exploring emotional prototypes in a high dimensional TTS latent space
by Pol van Rijn et al

05-05-2021

CoSA: Scheduling by Constrained Optimization for Spatial Accelerators
by Qijing Huang et al

05-05-2021

MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
by Tsung Wei Tsai et al

05-06-2021

Metric Entropy Limits on Recurrent Neural Network Learning of Linear Dynamical Systems
by Clemens Hutter et al

05-06-2021

Structured dataset documentation: a datasheet for CheXpert
by Christian Garbin et al

 
Craig Smith